extract
Skill97 starsChanged 32 days agoApache-2.0View on GitHub
Extract schema-validated JSON from messy HTML or text fixtures with digest-bound provenance.
37 other projects use a version of this.
Adopted by
Most recently taken up by
- kanap-hq/KANAPtheir own version, first seen Nov 8, 2026
- crocotaste/crocotaste-plugintheir own version, first seen Nov 1, 2026
- stoa-platform/stoatheir own version, first seen Nov 1, 2026
- nexmoe/DayBeetheir own version, first seen Nov 1, 2026
- actionbook/actionbooktheir own version, first seen Oct 25, 2026
- ryneivy/SKILLStheir own version, first seen Oct 20, 2026
Used with
Projects with it also use ai-act-readiness, c-level-agents and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Hussain-ElfalahSkillai-act-readiness
Also in 3 projects that use this
Hussain-ElfalahSkillc-level-agents
Also in 3 projects that use this
MicrosoftSkillinbox-setup
Set up the Inbox agent with recommended VS Code settings and gh CLI configuration
Also in 3 projects that use this
- +9 more from Hussain-Elfalah
Other versions37 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 37
- actionbook/actionbook★ 1.6ksame name
- talesofai/cohub★ 585same name
- educlopez/ui-craft★ 441same name
- nexmoe/DayBee★ 424same name
- nexmoe/eve★ 424same name
- Southclaws/storyden★ 348same name
- AkaraChen/aghub★ 271same name
- zacharyfmarion/openscad-studio★ 238same name
- jagrat7/linux-wallpaper-engine★ 227same name
- rwliebs/Dossier★ 88same name
27 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository94 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- runxSkill
- adopt-skillSkill
- agencySkill
- answer-from-docsSkill
- attention-reviewSkill
- audit-receiptSkill
- brand-voiceSkill
- business-opsSkill
- chargeSkill
- chief-of-staffSkill
- cold-outreachSkill
- content-pipelineSkill
- contract-drafterSkill
- conversation-replySkill
- conversation-reviewSkill
- crm-cleanupSkill
- cve-auditSkill
- data-storeSkill
- data-subject-requestSkill
- deep-researchSkill
- diagnose-skill-runSkill
- dispute-respondSkill
- ecosystem-briefSkill
- ghostwriteSkill
- github-pr-commentSkill
- github-pr-reviewSkill
- github-syncSkill
- google-analyticsSkill
- google-calendarSkill
- google-search-consoleSkill
- governed-outboundSkill
- helpdeskSkill
- incident-commanderSkill
- issue-intakeSkill
- issue-to-prSkill
- issue-triageSkill
- knowledge-routerSkill
- lead-enrichmentSkill
- lead-qualifySkill
- least-privilegeSkill
- ledgerSkill
- list-hygiene-judgeSkill
- marketplace-invokeSkill
- meeting-followupSkill
- mock-chargeSkill
- mock-paySkill
- mock-refundSkill
- moltbookSkill
- n8n-handoffSkill
- nitrosendSkill
- nws-weather-forecastSkill
- open-meteo-weather-forecastSkill
- operator-inboxSkill
- ops-deskSkill
- organic-growthSkill
- policy-authorSkill
- postmortem-makerSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 35 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 24
Use this skill when an agent needs a reproducible extraction packet from messy reference material, docs snapshots, benchmark fixtures, or …
- Distinctive: line 29
Use it as the extraction stage in a larger chain: fetch or curate bytes first, run structured extraction second, then pass the validated …
- Distinctive: line 35
Do not use this skill to fetch URLs, bypass network policy, process private customer data, parse credentials, or summarize a source without …
- Very specific: line 40
If the source bytes are not already present, stop with needs_input and use a web-fetch or repository-read skill with its own authority …
- Distinctive: line 49
Read the source bytes and JSON Schema bytes.
“Common” is measured: kept by at least 6 in 10 of the 35 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Extract
What this skill does
Extract structured JSON from a bounded HTML or plain-text source inside the
skill package, validate the result against a declared JSON Schema, and emit a
digest-bound provenance packet. The runner is deterministic: it reads local
fixture bytes, extracts headings, useful paragraphs, and HTTP/API terms, checks
the packet against packets/extraction.schema.json, and returns
runx.structured_extraction.result.v1.
This is not a scraper or crawler. Network fetch belongs in a separate governed web-fetch step. This skill starts after the bytes are already available as an approved package fixture, so the runx receipt can bind the input digest, schema digest, and validated output digest without depending on a live website.
When to use this skill
Use this skill when an agent needs a reproducible extraction packet from messy reference material, docs snapshots, benchmark fixtures, or captured public web content. It is appropriate when the source bytes have already been fetched, approved for local use, and pinned inside the skill package.
Use it as the extraction stage in a larger chain: fetch or curate bytes first, run structured extraction second, then pass the validated packet to a downstream agent, reviewer, search index, or evidence bundle.
When not to use this skill
Do not use this skill to fetch URLs, bypass network policy, process private customer data, parse credentials, or summarize a source without a schema. Do not use it when the desired output is free-form prose; this runner exists to produce typed, schema-checked JSON.
If the source bytes are not already present, stop with needs_input and use a
web-fetch or repository-read skill with its own authority grant and receipt. If
the schema is missing or unknown, stop with needs_more_evidence instead of
inventing a packet shape.
Procedure
- Resolve
input_pathandschema_pathrelative to the skill package. - Reject any path that escapes the package root.
- Read the source bytes and JSON Schema bytes.
- Record SHA-256 digests for both inputs.
- Extract a bounded set of headings, paragraphs, and HTTP/API terms.
- Build
runx.structured_extraction.result.v1. - Validate the packet against the schema and deterministic internal checks.
- Return the packet only when validation passes; otherwise fail closed.
Edge cases and stop conditions
Return needs_input when source_url, input_path, or schema_path is
missing. Return needs_more_evidence when the source URL does not identify the
origin of the fixture bytes. Return refused if the caller asks the skill to
fetch live network content, read outside the package root, process secrets, or
extract private user data.
Fail the run if the input file or schema file cannot be read, the schema is not valid JSON, the content type is unsupported, the extracted packet has too few items to be useful, or JSON Schema validation fails. Do not emit a partial success packet.
The authority scope is local fixture read plus local schema read. The proof surface is the sealed receipt containing input digest, schema digest, output digest, validation checks, and source URL.
Output schema
The runner emits structured_extraction_result with packet schema
runx.structured_extraction.result.v1:
{
"schema": "runx.structured_extraction.result.v1",
"source": {
"url": "https://example.test/source.html",
"content_type": "text/html",
"input_path": "fixtures/source.html",
"input_sha256": "sha256:<hex>",
"input_bytes": 0
},
"extraction": {
"title": "Document title",
"summary": {
"item_count": 0,
"heading_count": 0,
"term_count": 0,
"paragraph_count": 0,
"text_chars": 0
},
"items": []
},
"validation": {
"schema_id": "runx.structured_extraction.result.v1",
"schema_sha256": "sha256:<hex>",
"valid": true,
"engine": "native-json-schema-subset-v1",
"checks": []
},
"provenance": {
"mode": "fixture",
"tool_version": "0.1.0",
"source_kind": "real_public_document",
"output_payload_sha256": "sha256:<hex>"
}
}The packet also includes artifact and signal records that let a downstream receipt reference the input fixture, schema, and validated output.
Worked example
Extract a compact evidence packet from the packaged RFC 9110 fixture:
runx skill "$PWD" \
--runner extract \
--input input_path=fixtures/rfc9110-http-semantics.html \
--input schema_path=packets/extraction.schema.json \
--input source_url=https://www.rfc-editor.org/rfc/rfc9110.html \
--input content_type=text/html \
--input max_items=18 \
--jsonExpected behavior:
- The run stays local and does not fetch the RFC URL.
source.input_sha256identifies the exact fixture bytes.validation.validis true only if the packet satisfies the schema and internal extraction checks.- The sealed receipt links the source digest, schema digest, and output digest.
Inputs
input_path: package-relative path to an HTML or text fixture.schema_path: package-relative JSON Schema path.source_url: canonical public source URL for the fixture bytes.content_type:text/htmlortext/plain; defaults totext/html.max_items: maximum extracted items to include; clamped by the runner.
Outputs
structured_extraction_result: validated packet with source, extraction, validation, provenance, artifacts, and signal metadata.
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